We invite the submission of primary and superior-good quality study papers inside the subject areas connected with intersection of successful instruction and large-scale deployment of AI techniques. The subject areas for SEAS 2025 include things like, but will not be limited to (please see the workshop Internet site For additional matters of curiosity):
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We anticipate your submissions and to seeing you at the workshop. When you have any queries, make sure you Be happy to Call the Arranging committee.
Causality aims to explain the basic principle that particular occasions bring about unique outcomes, aiding us realize, forecast, and make clear adjustments on this planet. Not long ago, the relationship among causality and AI is now increasingly crucial, in which AI can benefit from causal reasoning to build much more robust, interpretable, and generalizable types.
Workshop 1 Aim: Familiarize members with the basics of AI, such as its background, key principles, and the various different types of AI technologies. This session sets the inspiration for knowing how AI can be applied in academic and administrative contexts.
The workshop’s attendees are keynote speakers, authors whose papers are accepted, and researchers and industrial practitioners who will show up at following AAAI’s similar plan. The envisioned range of attendees is about 55.
Unlock the power of facts! Be a part of our workshop to learn facts science Fundamental principles and rework details into conclusions. No prior knowledge required!
Our trainers are not merely specialists in AI; they are proficient educators who understand how to relate to individuals and handle their fears. We foster an inclusive learning setting the place concerns are encouraged, and assist is available.
The acknowledged papers are going to be publicly accessible on OpenReview, although the workshop is non-archival and doesn't have formal proceedings.
How finest can new information exposed by ML be translated again in the know-how corpus of biology? How greatest can we inform and catalyze a Neighborhood of exercise to benefit from and Make upon Imageomics to deal with grand scientific and societal issues? How can we leverage or assemble Basis models to learn biological and ecological insight?
Minimal-rank buildings to speed up computation of enormous ML systems for example adaptors in LLMs and structured computational graphs;
Extended Abstracts: Place or brief description of Original get the job done (1 webpage, excluding references and appendices) or the discharge of privateness-preserving benchmarks and datasets within the topics of fascination.
Who it’s for: IT leaders, supervisors, and operations groups looking for to combine AI into existing procedures.
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